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---
validate#postprocessing:
_target_: Compose
transforms:
- _target_: Activationsd
keys: pred
softmax: true
- _target_: Invertd
keys:
- pred
- label
transform: "@validate#preprocessing"
orig_keys: image
meta_key_postfix: meta_dict
nearest_interp:
- false
- true
to_tensor: true
- _target_: AsDiscreted
keys:
- pred
- label
argmax:
- true
- false
to_onehot: 3
- _target_: CopyItemsd
keys: "pred"
times: 1
names: "pred_save"
- _target_: AsDiscreted
keys:
- pred_save
argmax:
- true
- _target_: SaveImaged
keys: pred_save
meta_keys: pred_meta_dict
output_dir: "@output_dir"
resample: false
squeeze_end_dims: true
validate#dataset:
_target_: Dataset
data: "@val_datalist"
transform: "@validate#preprocessing"
validate#handlers:
- _target_: CheckpointLoader
load_path: "$@ckpt_dir + '/model.pt'"
load_dict:
model: "@network"
- _target_: StatsHandler
iteration_log: false
- _target_: MetricsSaver
save_dir: "@output_dir"
metrics:
- val_mean_dice
- val_acc
metric_details:
- val_mean_dice
batch_transform: "$monai.handlers.from_engine(['image_meta_dict'])"
summary_ops: "*"
evaluating:
- "$setattr(torch.backends.cudnn, 'benchmark', True)"
- "$@validate#evaluator.run()"
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